Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study.

Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study.

During medical pandemics, protective behaviors need to be motivated by effective communication, where finding predictors of fear and perceived health is of critical importance. The varying trajectories of the COVID-19 pandemic in different countries afford the opportunity to assess the unique influe...

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Bibliographic Details
Main Authors: Stephanie Josephine Eder, David Steyrl, Michal Mikolaj Stefanczyk, Michał Pieniak, Judit Martínez Molina, Ondra Pešout, Jakub Binter, Patrick Smela, Frank Scharnowski, Andrew A Nicholson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0247997

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https://doi.org/10.1371/journal.pone.0247997

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